Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Researchers led by Edward H. (Ted) Sargent of the University of Toronto have built the first colloidal quantum dot solar cells certified to convert sunlight into electricity with greater than 10% power conversion efficiency (Nano Lett. 2016, DOI: 10.1021/acs.nanolett.6b01957). Although quantum dots have played a role in solar cells with efficiencies better than 11%, the nanoscopic spheres in those cases are used only as a light-absorbing material, says Oleksandr Voznyy, a researcher in Sargent’s group. The new cells use thin films of lead sulfide quantum dots deposited from solution as light-sensitive layers that also conduct electric charges between electrodes. Using these multitasking quantum dots unlocks simpler design approaches for this brand of solar cell, but the team will need to continue improving the efficiency to compete with or complement other promising materials, such as perovskites, Voznyy says. To beat the 10% benchmark, the researchers tweaked the surface chemistry of their
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it